Air Traffic Control System Cyber Security Using Humans and Machine Learning
Author:
Affiliation:
1. Embry-Riddle Aeronautical University,Dept. of Cyber Intelligence and Security,Prescott,AZ,USA
Funder
U.S. Department of Defense
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10124249/10124250/10124305.pdf?arnumber=10124305
Reference36 articles.
1. The impact of uninformed RF interference on GBAS and potential mitigations;pullen;Proceedings of the 2012 International Technical Meeting of the Institute of Navigation,0
2. Intrusion Detection in Automatic Dependent Surveillance-Broadcast (ADS-B) with Machine Learning
3. Secure Operation, Control, and Maintenance of Future E-Enabled Airplanes
4. Detecting ADS-B Spoofing Attacks Using Deep Neural Networks
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1. Crew Role in CNS-ATM Cyber Security: Cyber Readiness of Air Traffic Controllers;2024 Integrated Communications, Navigation and Surveillance Conference (ICNS);2024-04-23
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